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Worksheets

Quizo'24

Total questions: 40

Worksheet time: 30mins

Name
Class
Date
1.

What is overfitting in machine learning?

a)

When a model is too complex for the data

b)

When a model is too simple for the data

c)

When a model performs poorly on both training and unseen data

d)

When a model performs well on training data but poorly on unseen data

2.

What is the difference between Supervised and Unsupervised Machine Learning?

a)

Supervised learning uses labeled data, Unsupervised uses unlabeled data.

b)

Supervised learning deals with text, Unsupervised deals with images.

c)

Supervised learning is faster, Unsupervised learning is slower.

d)

Supervised learning is for creative tasks, Unsupervised for analytical tasks.

3.

Which is the most popular language used for Artificial Intelligence ?

a)

MATLAB

b)

C ++

c)

Java

d)

Python

4.

Which one of these is an important framework for Machine Learning ?

a)

Matplotlib

b)

Pandas

c)

Flask

d)

TensorFlow

5.

What is the domain of AI which deals with Languages?

a)

Natural Language Processing

b)

Language Compute Processing

c)

Human Language Analysis

d)

Language Semantic Generation

6.

Which of the following machine learning techniques helps in detecting the outliers in data?

a)

Classification

b)

Clustering

c)

Anomaly Detection

d)

Regression

7.

Application of Machine learning is __________.

a)

Email Filtering

b)

Sentimental Analysis

c)

Face Recognition

d)

All of the Above

8.

Field of AI dealing with Images and Videos?

a)

Vision Analytics

b)

Computer Vision

c)

Image Computation

d)

Camera Processing

9.

What is defined as a program that exhibits cognitive ability similar to human beings ?

a)

Artificial Intelligence

b)

Data Science

c)

Machine Learning

d)

Deep Learning

10.

What is the Neural Network used to work with Images?

a)

Long Short Term Memory

b)

Recurrent Neural Network

c)

Large Language Models

d)

Convolutional Neural Network

11.

What is the difference between AI, ML, and Deep Learning?

a)

They are all the same

b)

AI is the broadest field, covering ML, which in turn covers Deep Learning

c)

Deep Learning is the broadest field, covering ML, which in turn covers AI

d)

None of the Above

12.

The "Father of Artificial Intelligence" is:

a)

Fisher Ada

b)

Alan Turing

c)

John McCarthy

d)

Allen Newell

13.

Which of these is NOT a type of machine learning?

a)

Supervised Learning

b)

Unsupervised Learning

c)

Reinforcement Learning

d)

Deductive Reasoning

14.

The component of an Expert System is :

a)

Knowledge Base

b)

Inference Engine

c)

User Interface

d)

All of the Above

15.

What is the Correct Expansion of GPT?

a)

Generalized Potential Text

b)

Generative Pretrained Transformers

c)

General Predictive Tokens

d)

Generic Preparator Text

16.

How many Types of Machine Learning are there ?

a)

Two Types

b)

Four Types

c)

Three Types

d)

Five Types

17.

What field of study gives Computers the ability to learn by themselves ?

a)

Data Science

b)

Blockchain

c)

Internet of Things

d)

Machine Learning

18.

What is the difference between a neural network and a deep learning model?

a)

There is no difference, they are the same

b)

Neural Networks are a type of Deep Learning Model

c)

Deep Learning Models are a type of Neural Network

d)

None of the Above

19.

Which of the following is a subset of machine learning?

a)

Numpy

b)

SciPy

c)

Deep Learning

d)

All of the Above

20.

The first layer of a Neural Network is called as?

a)

Input Layer

b)

Outer Layer

c)

Hidden Layer

d)

None of the Above

21.

When dealing with text data, which of the following techniques is used to convert textual data into numerical format for machine learning algorithms?

a)

Bag-of-Words

b)

Term Frequency-Inverse Document Frequency (TF-IDF)

c)

Word Embedding

d)

All of the above

22.

Which of the following techniques is most suitable for handling categorical variables with multiple levels during preprocessing?

a)

One-hot encoding

b)

Label encoding

c)

Binary encoding

d)

Ordinal encoding

23.

Which of the following steps is typically not a part of data preprocessing?

a)

Feature scaling

b)

Data normalization

c)

Model training

d)

Data cleaning

24.

When fine-tuning a pre-trained convolutional neural network (CNN) for a specific task, which layers are typically frozen to retain the previously learned features?

a)

Only the output layer

b)

Only the input layer

c)

All layers

d)

Only the convolutional layers

25.

What is Tableau primarily used for?

a)

Data Preprocessing

b)

Data Visualization

c)

Machine Learning Modeling

d)

Database Management

26.

Which of the following file formats can Tableau directly connect to for data visualization?

a)

.xlsx (Excel)

b)

.csv (Comma-separated values)

c)

.txt (Text files)

d)

All of the above

27.

In Tableau, what is a "dashboard"?

a)

A container for organizing and displaying multiple visualizations together

b)

A data preprocessing tool

c)

A database management system

d)

A machine learning algorithm

28.

What is the main goal of exploratory data analysis (EDA) in data science?

a)

To build predictive models

b)

To summarize the main characteristics of the data

c)

To deploy machine learning algorithms

d)

To evaluate model performance

29.

Which of the following is NOT a supervised learning algorithm in data science?

a)

Decision Trees

b)

K-means clustering

c)

Linear Regression

d)

Support Vector Machines

30.

What is the process of transforming raw data into a more suitable format for analysis known as?

a)

Data cleaning

b)

Data interpretation

c)

Data visualization

d)

Data storage

31.

What is the term used to describe a large collection of structured or unstructured data that cannot be processed using traditional database management tools?

a)

Big data

b)

Medium data

c)

Small data

d)

Data lake

32.

Which of the following is NOT a common data type encountered in data science?

a)

Numeric

b)

Text

c)

Image

d)

Sound

33.

Data preprocessing is not required after data acquisition through web scraping.

a)

True

b)

False

34.

Web scraping is only suitable for acquiring data when it's readily available through an API.

a)

True

b)

False

35.

Which HTTP method is typically used for retrieving data from a web server in web scraping?

a)

GET

b)

POST

c)

PUT

d)

DELETE

36.

Which of the following libraries in Python is commonly used for web scraping?

a)

NumPy

b)

BeautifulSoup

c)

Matplotlib

d)

Scikit-learn

37.

What is the purpose of Power BI Mobile app?

a)

To design reports

b)

To access and interact with reports on mobile devices

c)

To schedule data refreshes

d)

To perform data analysis

38.

Power BI supports real-time data visualization through integration with:

a)

SQL Server Analysis Services (SSAS)

b)

Microsoft Azure Stream Analytics

c)

Excel

d)

SharePoint

39.

Power BI Desktop is primarily used for:

a)

Creating and publishing reports

b)

Viewing and interacting with reports

c)

Accessing data sources

d)

Designing data models and visualizations

40.

What is the purpose of Power Query in Power BI?

a)

To create interactive visualizations

b)

To clean and transform data

c)

To analyze data trends

d)

To generate reports